Pandas Profiling Report

Dataset statistics

Number of variables	27
Number of observations	50000
Missing cells	30053
Missing cells (%)	2.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	10.3 MiB
Average record size in memory	216.0 B

Variable types

Categorical	19
Numeric	8

Alerts

`ID` has a high cardinality: 50000 distinct values	High cardinality
`Customer_ID` has a high cardinality: 12500 distinct values	High cardinality
`Name` has a high cardinality: 10139 distinct values	High cardinality
`Age` has a high cardinality: 976 distinct values	High cardinality
`SSN` has a high cardinality: 12501 distinct values	High cardinality
`Annual_Income` has a high cardinality: 16121 distinct values	High cardinality
`Num_of_Loan` has a high cardinality: 263 distinct values	High cardinality
`Type_of_Loan` has a high cardinality: 6260 distinct values	High cardinality
`Num_of_Delayed_Payment` has a high cardinality: 443 distinct values	High cardinality
`Changed_Credit_Limit` has a high cardinality: 3927 distinct values	High cardinality
`Outstanding_Debt` has a high cardinality: 12685 distinct values	High cardinality
`Credit_History_Age` has a high cardinality: 399 distinct values	High cardinality
`Amount_invested_monthly` has a high cardinality: 45450 distinct values	High cardinality
`Monthly_Balance` has a high cardinality: 49433 distinct values	High cardinality
`Num_Bank_Accounts` is highly correlated with `Interest_Rate` and 1 other fields	High correlation
`Interest_Rate` is highly correlated with `Num_Bank_Accounts` and 2 other fields	High correlation
`Delay_from_due_date` is highly correlated with `Credit_Mix` and 1 other fields	High correlation
`Num_Credit_Inquiries` is highly correlated with `Interest_Rate`	High correlation
`Credit_Mix` is highly correlated with `Delay_from_due_date`	High correlation
`Payment_of_Min_Amount` is highly correlated with `Delay_from_due_date`	High correlation
`Name` has 5015 (10.0%) missing values	Missing
`Monthly_Inhand_Salary` has 7498 (15.0%) missing values	Missing
`Type_of_Loan` has 5704 (11.4%) missing values	Missing
`Num_of_Delayed_Payment` has 3498 (7.0%) missing values	Missing
`Num_Credit_Inquiries` has 1035 (2.1%) missing values	Missing
`Credit_History_Age` has 4470 (8.9%) missing values	Missing
`Amount_invested_monthly` has 2271 (4.5%) missing values	Missing
`Monthly_Balance` has 562 (1.1%) missing values	Missing
`ID` is uniformly distributed	Uniform
`Customer_ID` is uniformly distributed	Uniform
`Month` is uniformly distributed	Uniform
`Annual_Income` is uniformly distributed	Uniform
`Outstanding_Debt` is uniformly distributed	Uniform
`Monthly_Balance` is uniformly distributed	Uniform
`ID` has unique values	Unique
`Credit_Utilization_Ratio` has unique values	Unique
`Num_Bank_Accounts` has 2166 (4.3%) zeros	Zeros
`Delay_from_due_date` has 626 (1.3%) zeros	Zeros
`Num_Credit_Inquiries` has 1102 (2.2%) zeros	Zeros
`Total_EMI_per_month` has 5002 (10.0%) zeros	Zeros

Reproduction

Analysis started	2022-11-29 10:15:14.164657
Analysis finished	2022-11-29 10:15:39.210009
Duration	25.05 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

ID
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	50000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

0x289d	1
0x20487	1
0x23501	1
0x168d1	1
0x20186	1
Other values (49995)	49995

Length

Max length	7
Median length	7
Mean length	6.60068
Min length	6

Characters and Unicode

Total characters	330034
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50000 ?
Unique (%)	100.0%

Sample

1st row	0x160a
2nd row	0x160b
3rd row	0x160c
4th row	0x160d
5th row	0x1616

Common Values

Value	Count	Frequency (%)
0x289d	1	< 0.1%
0x20487	1	< 0.1%
0x23501	1	< 0.1%
0x168d1	1	< 0.1%
0x20186	1	< 0.1%
0x1cb58	1	< 0.1%
0x89a2	1	< 0.1%
0x161bb	1	< 0.1%
0x17b52	1	< 0.1%
0x1d22f	1	< 0.1%
Other values (49990)	49990	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0x289d	1	< 0.1%
0x24c3	1	< 0.1%
0xe819	1	< 0.1%
0x172cc	1	< 0.1%
0x24bed	1	< 0.1%
0x5e0a	1	< 0.1%
0x13da2	1	< 0.1%
0x14d71	1	< 0.1%
0xecbb	1	< 0.1%
0x6d31	1	< 0.1%
Other values (49990)	49990	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
0	62051	18.8%
x	50000	15.1%
1	34749	10.5%
2	21607	6.5%
3	13419	4.1%
4	13417	4.1%
5	13415	4.1%
9	12141	3.7%
c	12141	3.7%
8	12139	3.7%
Other values (7)	84955	25.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	207212	62.8%
Lowercase Letter	122822	37.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	62051	29.9%
1	34749	16.8%
2	21607	10.4%
3	13419	6.5%
4	13417	6.5%
5	13415	6.5%
9	12141	5.9%
8	12139	5.9%
6	12139	5.9%
7	12135	5.9%

Lowercase Letter

Value	Count	Frequency (%)
x	50000	40.7%
c	12141	9.9%
b	12139	9.9%
e	12139	9.9%
d	12135	9.9%
a	12135	9.9%
f	12133	9.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	207212	62.8%
Latin	122822	37.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	62051	29.9%
1	34749	16.8%
2	21607	10.4%
3	13419	6.5%
4	13417	6.5%
5	13415	6.5%
9	12141	5.9%
8	12139	5.9%
6	12139	5.9%
7	12135	5.9%

Latin

Value	Count	Frequency (%)
x	50000	40.7%
c	12141	9.9%
b	12139	9.9%
e	12139	9.9%
d	12135	9.9%
a	12135	9.9%
f	12133	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	330034	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	62051	18.8%
x	50000	15.1%
1	34749	10.5%
2	21607	6.5%
3	13419	4.1%
4	13417	4.1%
5	13415	4.1%
9	12141	3.7%
c	12141	3.7%
8	12139	3.7%
Other values (7)	84955	25.7%

Customer_ID
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	12500
Distinct (%)	25.0%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

CUS_0x2425	4
CUS_0x12cb	4
CUS_0x6df3	4
CUS_0xb56b	4
CUS_0x3032	4
Other values (12495)	49980

Length

Max length	10
Median length	10
Mean length	9.93952
Min length	9

Characters and Unicode

Total characters	496976
Distinct characters	21
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CUS_0xd40
2nd row	CUS_0xd40
3rd row	CUS_0xd40
4th row	CUS_0xd40
5th row	CUS_0x21b1

Common Values

Value	Count	Frequency (%)
CUS_0x2425	4	< 0.1%
CUS_0x12cb	4	< 0.1%
CUS_0x6df3	4	< 0.1%
CUS_0xb56b	4	< 0.1%
CUS_0x3032	4	< 0.1%
CUS_0x3870	4	< 0.1%
CUS_0x1bdf	4	< 0.1%
CUS_0x1fdc	4	< 0.1%
CUS_0x24cf	4	< 0.1%
CUS_0x9192	4	< 0.1%
Other values (12490)	49960	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cus_0x2425	4	< 0.1%
cus_0x2499	4	< 0.1%
cus_0x4d03	4	< 0.1%
cus_0x3c6a	4	< 0.1%
cus_0x143c	4	< 0.1%
cus_0x2a69	4	< 0.1%
cus_0x4797	4	< 0.1%
cus_0x3d50	4	< 0.1%
cus_0x3fb	4	< 0.1%
cus_0x997e	4	< 0.1%
Other values (12490)	49960	99.9%

Most occurring characters

Value	Count	Frequency (%)
0	59124	11.9%
C	50000	10.1%
S	50000	10.1%
_	50000	10.1%
x	50000	10.1%
U	50000	10.1%
4	14000	2.8%
6	13700	2.8%
5	13600	2.7%
3	13536	2.7%
Other values (11)	133016	26.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	180604	36.3%
Uppercase Letter	150000	30.2%
Lowercase Letter	116372	23.4%
Connector Punctuation	50000	10.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	59124	32.7%
4	14000	7.8%
6	13700	7.6%
5	13600	7.5%
3	13536	7.5%
8	13536	7.5%
7	13388	7.4%
9	13368	7.4%
2	13360	7.4%
1	12992	7.2%

Lowercase Letter

Value	Count	Frequency (%)
x	50000	43.0%
b	13400	11.5%
a	13272	11.4%
c	11136	9.6%
e	9744	8.4%
d	9436	8.1%
f	9384	8.1%

Uppercase Letter

Value	Count	Frequency (%)
C	50000	33.3%
S	50000	33.3%
U	50000	33.3%

Connector Punctuation

Value	Count	Frequency (%)
_	50000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	266372	53.6%
Common	230604	46.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	59124	25.6%
_	50000	21.7%
4	14000	6.1%
6	13700	5.9%
5	13600	5.9%
3	13536	5.9%
8	13536	5.9%
7	13388	5.8%
9	13368	5.8%
2	13360	5.8%

Latin

Value	Count	Frequency (%)
C	50000	18.8%
S	50000	18.8%
x	50000	18.8%
U	50000	18.8%
b	13400	5.0%
a	13272	5.0%
c	11136	4.2%
e	9744	3.7%
d	9436	3.5%
f	9384	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	496976	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	59124	11.9%
C	50000	10.1%
S	50000	10.1%
_	50000	10.1%
x	50000	10.1%
U	50000	10.1%
4	14000	2.8%
6	13700	2.8%
5	13600	2.7%
3	13536	2.7%
Other values (11)	133016	26.8%

Month
Categorical

UNIFORM

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

September	12500
October	12500
December	12500
November	12500

Length

Max length	9
Median length	8.5
Mean length	8
Min length	7

Characters and Unicode

Total characters	400000
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	September
2nd row	October
3rd row	November
4th row	December
5th row	September

Common Values

Value	Count	Frequency (%)
September	12500	25.0%
October	12500	25.0%
December	12500	25.0%
November	12500	25.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
september	12500	25.0%
october	12500	25.0%
december	12500	25.0%
november	12500	25.0%

Most occurring characters

Value	Count	Frequency (%)
e	112500	28.1%
b	50000	12.5%
r	50000	12.5%
m	37500	9.4%
t	25000	6.2%
c	25000	6.2%
o	25000	6.2%
S	12500	3.1%
p	12500	3.1%
O	12500	3.1%
Other values (3)	37500	9.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	350000	87.5%
Uppercase Letter	50000	12.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	112500	32.1%
b	50000	14.3%
r	50000	14.3%
m	37500	10.7%
t	25000	7.1%
c	25000	7.1%
o	25000	7.1%
p	12500	3.6%
v	12500	3.6%

Uppercase Letter

Value	Count	Frequency (%)
S	12500	25.0%
O	12500	25.0%
D	12500	25.0%
N	12500	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	400000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	112500	28.1%
b	50000	12.5%
r	50000	12.5%
m	37500	9.4%
t	25000	6.2%
c	25000	6.2%
o	25000	6.2%
S	12500	3.1%
p	12500	3.1%
O	12500	3.1%
Other values (3)	37500	9.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	400000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	112500	28.1%
b	50000	12.5%
r	50000	12.5%
m	37500	9.4%
t	25000	6.2%
c	25000	6.2%
o	25000	6.2%
S	12500	3.1%
p	12500	3.1%
O	12500	3.1%
Other values (3)	37500	9.4%

Name
Categorical

HIGH CARDINALITY
MISSING

Distinct	10139
Distinct (%)	22.5%
Missing	5015
Missing (%)	10.0%
Memory size	390.8 KiB

Stevex	22
Langep	21
Deepa Seetharamanm	20
Ronald Groverk	20
Jessicad	20
Other values (10134)	44882

Length

Max length	25
Median length	20
Mean length	9.758274981
Min length	2

Characters and Unicode

Total characters	438976
Distinct characters	57
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27 ?
Unique (%)	0.1%

Sample

1st row	Aaron Maashoh
2nd row	Aaron Maashoh
3rd row	Aaron Maashoh
4th row	Aaron Maashoh
5th row	Rick Rothackerj

Common Values

Value	Count	Frequency (%)
Stevex	22	< 0.1%
Langep	21	< 0.1%
Deepa Seetharamanm	20	< 0.1%
Ronald Groverk	20	< 0.1%
Jessicad	20	< 0.1%
Raymondr	20	< 0.1%
Nicko	20	< 0.1%
Vaughanl	19	< 0.1%
Jonesb	19	< 0.1%
Jessica Wohlt	19	< 0.1%
Other values (10129)	44785	89.6%
(Missing)	5015	10.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
david	328	0.5%
jonathan	300	0.5%
jessica	256	0.4%
sarah	212	0.3%
karen	190	0.3%
nick	184	0.3%
tim	184	0.3%
caroline	181	0.3%
tom	174	0.3%
john	169	0.3%
Other values (9720)	60616	96.5%

Most occurring characters

Value	Count	Frequency (%)
a	45799	10.4%
e	38101	8.7%
n	29539	6.7%
i	29158	6.6%
r	27144	6.2%
o	22261	5.1%
l	21086	4.8%
	17825	4.1%
t	17446	4.0%
h	15228	3.5%
Other values (47)	175389	40.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	356743	81.3%
Uppercase Letter	62618	14.3%
Space Separator	17825	4.1%
Other Punctuation	1075	0.2%
Dash Punctuation	715	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	45799	12.8%
e	38101	10.7%
n	29539	8.3%
i	29158	8.2%
r	27144	7.6%
o	22261	6.2%
l	21086	5.9%
t	17446	4.9%
h	15228	4.3%
s	15226	4.3%
Other values (16)	95755	26.8%

Uppercase Letter

Value	Count	Frequency (%)
S	7100	11.3%
A	4370	7.0%
M	4314	6.9%
L	4206	6.7%
J	4014	6.4%
C	3883	6.2%
R	3587	5.7%
D	3511	5.6%
K	3447	5.5%
B	3251	5.2%
Other values (16)	20935	33.4%

Other Punctuation

Value	Count	Frequency (%)
.	551	51.3%
"	478	44.5%
,	46	4.3%

Space Separator

Value	Count	Frequency (%)
	17825	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	715	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	419361	95.5%
Common	19615	4.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	45799	10.9%
e	38101	9.1%
n	29539	7.0%
i	29158	7.0%
r	27144	6.5%
o	22261	5.3%
l	21086	5.0%
t	17446	4.2%
h	15228	3.6%
s	15226	3.6%
Other values (42)	158373	37.8%

Common

Value	Count	Frequency (%)
	17825	90.9%
-	715	3.6%
.	551	2.8%
"	478	2.4%
,	46	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	438976	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	45799	10.4%
e	38101	8.7%
n	29539	6.7%
i	29158	6.6%
r	27144	6.2%
o	22261	5.1%
l	21086	4.8%
	17825	4.1%
t	17446	4.0%
h	15228	3.5%
Other values (47)	175389	40.0%

Age
Categorical

HIGH CARDINALITY

Distinct	976
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

39	1493
32	1440
44	1428
22	1422
35	1414
Other values (971)	42803

Length

Max length	5
Median length	2
Mean length	2.10342
Min length	2

Characters and Unicode

Total characters	105171
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	839 ?
Unique (%)	1.7%

Sample

1st row	23
2nd row	24
3rd row	24
4th row	24_
5th row	28

Common Values

Value	Count	Frequency (%)
39	1493	3.0%
32	1440	2.9%
44	1428	2.9%
22	1422	2.8%
35	1414	2.8%
37	1397	2.8%
27	1382	2.8%
20	1374	2.7%
29	1368	2.7%
26	1348	2.7%
Other values (966)	35934	71.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
39	1570	3.1%
32	1529	3.1%
44	1500	3.0%
22	1493	3.0%
35	1483	3.0%
37	1461	2.9%
27	1457	2.9%
29	1441	2.9%
20	1432	2.9%
26	1421	2.8%
Other values (918)	35213	70.4%

Most occurring characters

Value	Count	Frequency (%)
2	19446	18.5%
3	19144	18.2%
4	16616	15.8%
5	10984	10.4%
1	9785	9.3%
0	5994	5.7%
6	5690	5.4%
9	5305	5.0%
7	4704	4.5%
8	4562	4.3%
Other values (2)	2941	2.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	102230	97.2%
Connector Punctuation	2477	2.4%
Dash Punctuation	464	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	19446	19.0%
3	19144	18.7%
4	16616	16.3%
5	10984	10.7%
1	9785	9.6%
0	5994	5.9%
6	5690	5.6%
9	5305	5.2%
7	4704	4.6%
8	4562	4.5%

Connector Punctuation

Value	Count	Frequency (%)
_	2477	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	464	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	105171	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	19446	18.5%
3	19144	18.2%
4	16616	15.8%
5	10984	10.4%
1	9785	9.3%
0	5994	5.7%
6	5690	5.4%
9	5305	5.0%
7	4704	4.5%
8	4562	4.3%
Other values (2)	2941	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	105171	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	19446	18.5%
3	19144	18.2%
4	16616	15.8%
5	10984	10.4%
1	9785	9.3%
0	5994	5.7%
6	5690	5.4%
9	5305	5.0%
7	4704	4.5%
8	4562	4.3%
Other values (2)	2941	2.8%

SSN
Categorical

HIGH CARDINALITY

Distinct	12501
Distinct (%)	25.0%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

#F%$D@*&8	2828
605-63-9678	4
500-54-3583	4
027-69-5774	4
716-63-9191	4
Other values (12496)	47156

Length

Max length	11
Median length	11
Mean length	10.88688
Min length	9

Characters and Unicode

Total characters	544344
Distinct characters	19
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	821-00-0265
2nd row	821-00-0265
3rd row	821-00-0265
4th row	821-00-0265
5th row	004-07-5839

Common Values

Value	Count	Frequency (%)
#F%$D@*&8	2828	5.7%
605-63-9678	4	< 0.1%
500-54-3583	4	< 0.1%
027-69-5774	4	< 0.1%
716-63-9191	4	< 0.1%
423-96-9115	4	< 0.1%
885-50-0108	4	< 0.1%
268-75-5454	4	< 0.1%
226-58-1620	4	< 0.1%
973-70-9064	4	< 0.1%
Other values (12491)	47136	94.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
f%$d@*&8	2828	5.7%
999-28-9483	4	< 0.1%
249-63-8554	4	< 0.1%
103-20-7616	4	< 0.1%
956-23-3860	4	< 0.1%
350-85-7603	4	< 0.1%
989-07-3770	4	< 0.1%
300-57-8786	4	< 0.1%
605-53-6907	4	< 0.1%
187-58-8843	4	< 0.1%
Other values (12491)	47136	94.3%

Most occurring characters

Value	Count	Frequency (%)
-	94344	17.3%
8	45742	8.4%
1	43235	7.9%
4	42874	7.9%
2	42687	7.8%
7	42591	7.8%
9	42261	7.8%
0	42219	7.8%
5	42183	7.7%
3	41862	7.7%
Other values (9)	64346	11.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	427376	78.5%
Dash Punctuation	94344	17.3%
Other Punctuation	14140	2.6%
Uppercase Letter	5656	1.0%
Currency Symbol	2828	0.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	45742	10.7%
1	43235	10.1%
4	42874	10.0%
2	42687	10.0%
7	42591	10.0%
9	42261	9.9%
0	42219	9.9%
5	42183	9.9%
3	41862	9.8%
6	41722	9.8%

Other Punctuation

Value	Count	Frequency (%)
&	2828	20.0%
*	2828	20.0%
@	2828	20.0%
%	2828	20.0%
#	2828	20.0%

Uppercase Letter

Value	Count	Frequency (%)
F	2828	50.0%
D	2828	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	94344	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	2828	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	538688	99.0%
Latin	5656	1.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	94344	17.5%
8	45742	8.5%
1	43235	8.0%
4	42874	8.0%
2	42687	7.9%
7	42591	7.9%
9	42261	7.8%
0	42219	7.8%
5	42183	7.8%
3	41862	7.8%
Other values (7)	58690	10.9%

Latin

Value	Count	Frequency (%)
F	2828	50.0%
D	2828	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	544344	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	94344	17.3%
8	45742	8.4%
1	43235	7.9%
4	42874	7.9%
2	42687	7.8%
7	42591	7.8%
9	42261	7.8%
0	42219	7.8%
5	42183	7.7%
3	41862	7.7%
Other values (9)	64346	11.8%

Occupation
Categorical

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

_______	3438
Lawyer	3324
Engineer	3212
Architect	3195
Mechanic	3168
Other values (11)	33663

Length

Max length	13
Median length	10
Mean length	8.43476
Min length	6

Characters and Unicode

Total characters	421738
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Scientist
2nd row	Scientist
3rd row	Scientist
4th row	Scientist
5th row	_______

Common Values

Value	Count	Frequency (%)
_______	3438	6.9%
Lawyer	3324	6.6%
Engineer	3212	6.4%
Architect	3195	6.4%
Mechanic	3168	6.3%
Developer	3146	6.3%
Accountant	3133	6.3%
Media_Manager	3130	6.3%
Scientist	3104	6.2%
Teacher	3103	6.2%
Other values (6)	18047	36.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	3438	6.9%
lawyer	3324	6.6%
engineer	3212	6.4%
architect	3195	6.4%
mechanic	3168	6.3%
developer	3146	6.3%
accountant	3133	6.3%
media_manager	3130	6.3%
scientist	3104	6.2%
teacher	3103	6.2%
Other values (6)	18047	36.1%

Most occurring characters

Value	Count	Frequency (%)
e	56361	13.4%
r	43349	10.3%
n	37282	8.8%
a	34102	8.1%
c	31173	7.4%
t	30964	7.3%
i	30777	7.3%
_	27196	6.4%
M	15375	3.6%
o	15370	3.6%
Other values (18)	99789	23.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	344850	81.8%
Uppercase Letter	49692	11.8%
Connector Punctuation	27196	6.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	56361	16.3%
r	43349	12.6%
n	37282	10.8%
a	34102	9.9%
c	31173	9.0%
t	30964	9.0%
i	30777	8.9%
o	15370	4.5%
u	12220	3.5%
h	9466	2.7%
Other values (8)	43786	12.7%

Uppercase Letter

Value	Count	Frequency (%)
M	15375	30.9%
A	6328	12.7%
E	6315	12.7%
D	6173	12.4%
L	3324	6.7%
S	3104	6.2%
T	3103	6.2%
J	3037	6.1%
W	2933	5.9%

Connector Punctuation

Value	Count	Frequency (%)
_	27196	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	394542	93.6%
Common	27196	6.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	56361	14.3%
r	43349	11.0%
n	37282	9.4%
a	34102	8.6%
c	31173	7.9%
t	30964	7.8%
i	30777	7.8%
M	15375	3.9%
o	15370	3.9%
u	12220	3.1%
Other values (17)	87569	22.2%

Common

Value	Count	Frequency (%)
_	27196	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	421738	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	56361	13.4%
r	43349	10.3%
n	37282	8.8%
a	34102	8.1%
c	31173	7.4%
t	30964	7.3%
i	30777	7.3%
_	27196	6.4%
M	15375	3.6%
o	15370	3.6%
Other values (18)	99789	23.7%

Annual_Income
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	16121
Distinct (%)	32.2%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

9141.63	8
95596.35	8
72524.2	8
36585.12	8
22434.16	8
Other values (16116)	49960

Length

Max length	19
Median length	8
Mean length	8.3094
Min length	6

Characters and Unicode

Total characters	415470
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3335 ?
Unique (%)	6.7%

Sample

1st row	19114.12
2nd row	19114.12
3rd row	19114.12
4th row	19114.12
5th row	34847.84

Common Values

Value	Count	Frequency (%)
9141.63	8	< 0.1%
95596.35	8	< 0.1%
72524.2	8	< 0.1%
36585.12	8	< 0.1%
22434.16	8	< 0.1%
17816.75	8	< 0.1%
109945.32	8	< 0.1%
20867.67	7	< 0.1%
40341.16	7	< 0.1%
33029.66	7	< 0.1%
Other values (16111)	49923	99.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
9141.63	8	< 0.1%
20867.67	8	< 0.1%
95596.35	8	< 0.1%
32543.38	8	< 0.1%
33029.66	8	< 0.1%
40341.16	8	< 0.1%
17273.83	8	< 0.1%
109945.32	8	< 0.1%
17816.75	8	< 0.1%
22434.16	8	< 0.1%
Other values (12979)	49920	99.8%

Most occurring characters

Value	Count	Frequency (%)
.	50000	12.0%
1	46376	11.2%
2	38186	9.2%
4	35878	8.6%
3	35800	8.6%
8	35462	8.5%
5	35357	8.5%
6	35326	8.5%
9	34524	8.3%
0	33173	8.0%
Other values (2)	35388	8.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	361950	87.1%
Other Punctuation	50000	12.0%
Connector Punctuation	3520	0.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	46376	12.8%
2	38186	10.6%
4	35878	9.9%
3	35800	9.9%
8	35462	9.8%
5	35357	9.8%
6	35326	9.8%
9	34524	9.5%
0	33173	9.2%
7	31868	8.8%

Other Punctuation

Value	Count	Frequency (%)
.	50000	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	3520	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	415470	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	50000	12.0%
1	46376	11.2%
2	38186	9.2%
4	35878	8.6%
3	35800	8.6%
8	35462	8.5%
5	35357	8.5%
6	35326	8.5%
9	34524	8.3%
0	33173	8.0%
Other values (2)	35388	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	415470	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	50000	12.0%
1	46376	11.2%
2	38186	9.2%
4	35878	8.6%
3	35800	8.6%
8	35462	8.5%
5	35357	8.5%
6	35326	8.5%
9	34524	8.3%
0	33173	8.0%
Other values (2)	35388	8.5%

Monthly_Inhand_Salary
Real number (ℝ_≥0)

MISSING

Distinct	12793
Distinct (%)	30.1%
Missing	7498
Missing (%)	15.0%
Infinite	0
Infinite (%)	0.0%
Mean	4182.004291

Minimum	303.6454167
Maximum	15204.63333
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	303.6454167
5-th percentile	833.7731458
Q1	1625.188333
median	3086.305
Q3	5934.189094
95-th percentile	10771.23333
Maximum	15204.63333
Range	14900.98792
Interquartile range (IQR)	4309.00076

Descriptive statistics

Standard deviation	3174.109304
Coefficient of variation (CV)	0.7589923594
Kurtosis	0.6280610902
Mean	4182.004291
Median Absolute Deviation (MAD)	1750.829583
Skewness	1.131373974
Sum	177743546.4
Variance	10074969.87
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1315.560833	8	< 0.1%
4387.2725	7	< 0.1%
3080.555	7	< 0.1%
5766.491667	7	< 0.1%
6082.1875	7	< 0.1%
2295.058333	7	< 0.1%
6639.56	7	< 0.1%
536.43125	7	< 0.1%
6358.956667	6	< 0.1%
10511.33	4	< 0.1%
Other values (12783)	42435	84.9%
(Missing)	7498	15.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
303.6454167	2	< 0.1%
319.55625	4	< 0.1%
331.0319233	2	< 0.1%
332.1283333	3	< 0.1%
332.43125	4	< 0.1%
333.5966667	4	< 0.1%
355.2083333	4	< 0.1%
357.2558333	4	< 0.1%
358.0583333	4	< 0.1%
361.6033333	4	< 0.1%

Value	Count	Frequency (%)
15204.63333	3	< 0.1%
15167.18	4	< 0.1%
15136.69667	3	< 0.1%
15115.19	3	< 0.1%
15101.94	3	< 0.1%
15090.07667	4	< 0.1%
15066.78333	4	< 0.1%
14978.33667	3	< 0.1%
14960.25	1	< 0.1%
14929.54	3	< 0.1%

Num_Bank_Accounts
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	540
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.83826

Minimum	-1
Maximum	1798
Zeros	2166
Zeros (%)	4.3%
Negative	16
Negative (%)	< 0.1%
Memory size	390.8 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	3
median	6
Q3	7
95-th percentile	10
Maximum	1798
Range	1799
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	116.3968482
Coefficient of variation (CV)	6.912641103
Kurtosis	132.919184
Mean	16.83826
Median Absolute Deviation (MAD)	2
Skewness	11.25168183
Sum	841913
Variance	13548.22626
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	6504	13.0%
7	6408	12.8%
8	6387	12.8%
4	6100	12.2%
5	6068	12.1%
3	5955	11.9%
9	2738	5.5%
10	2599	5.2%
1	2253	4.5%
0	2166	4.3%
Other values (530)	2822	5.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	16	< 0.1%
0	2166	4.3%
1	2253	4.5%
2	2152	4.3%
3	5955	11.9%
4	6100	12.2%
5	6068	12.1%
6	6504	13.0%
7	6408	12.8%
8	6387	12.8%

Value	Count	Frequency (%)
1798	1	< 0.1%
1783	1	< 0.1%
1781	1	< 0.1%
1780	1	< 0.1%
1775	1	< 0.1%
1774	2	< 0.1%
1773	1	< 0.1%
1772	1	< 0.1%
1771	1	< 0.1%
1770	1	< 0.1%

Num_Credit_Card
Real number (ℝ_≥0)

Distinct	819
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.92148

Minimum	0
Maximum	1499
Zeros	16
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	4
median	5
Q3	7
95-th percentile	10
Maximum	1499
Range	1499
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	129.3148043
Coefficient of variation (CV)	5.641642872
Kurtosis	71.87065897
Mean	22.92148
Median Absolute Deviation (MAD)	2
Skewness	8.286879673
Sum	1146074
Variance	16722.3186
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	9210	18.4%
7	8271	16.5%
6	8243	16.5%
4	7072	14.1%
3	6539	13.1%
8	2497	5.0%
10	2405	4.8%
9	2333	4.7%
2	1131	2.3%
1	1063	2.1%
Other values (809)	1236	2.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16	< 0.1%
1	1063	2.1%
2	1131	2.3%
3	6539	13.1%
4	7072	14.1%
5	9210	18.4%
6	8243	16.5%
7	8271	16.5%
8	2497	5.0%
9	2333	4.7%

Value	Count	Frequency (%)
1499	1	< 0.1%
1498	2	< 0.1%
1495	1	< 0.1%
1491	1	< 0.1%
1488	1	< 0.1%
1486	1	< 0.1%
1485	1	< 0.1%
1484	2	< 0.1%
1481	2	< 0.1%
1474	3	< 0.1%

Interest_Rate
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	945
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	68.77264

Minimum	1
Maximum	5799
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	13
Q3	20
95-th percentile	32
Maximum	5799
Range	5798
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	451.6023629
Coefficient of variation (CV)	6.566599202
Kurtosis	92.48656451
Mean	68.77264
Median Absolute Deviation (MAD)	6
Skewness	9.370223147
Sum	3438632
Variance	203944.6942
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	2503	5.0%
5	2500	5.0%
6	2368	4.7%
12	2288	4.6%
10	2259	4.5%
9	2253	4.5%
7	2250	4.5%
11	2198	4.4%
18	2052	4.1%
15	1992	4.0%
Other values (935)	27337	54.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1344	2.7%
2	1245	2.5%
3	1388	2.8%
4	1287	2.6%
5	2500	5.0%
6	2368	4.7%
7	2250	4.5%
8	2503	5.0%
9	2253	4.5%
10	2259	4.5%

Value	Count	Frequency (%)
5799	1	< 0.1%
5792	1	< 0.1%
5773	1	< 0.1%
5759	2	< 0.1%
5752	1	< 0.1%
5748	1	< 0.1%
5747	1	< 0.1%
5743	1	< 0.1%
5736	1	< 0.1%
5732	1	< 0.1%

Num_of_Loan
Categorical

HIGH CARDINALITY

Distinct	263
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

2	7173
3	7114
4	6982
0	5163
1	5029
Other values (258)	18539

Length

Max length	5
Median length	1
Mean length	1.17906
Min length	1

Characters and Unicode

Total characters	58953
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	226 ?
Unique (%)	0.5%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	4
5th row	1

Common Values

Value	Count	Frequency (%)
2	7173	14.3%
3	7114	14.2%
4	6982	14.0%
0	5163	10.3%
1	5029	10.1%
6	3707	7.4%
7	3483	7.0%
5	3437	6.9%
-100	1974	3.9%
9	1746	3.5%
Other values (253)	4192	8.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2	7515	15.0%
3	7514	15.0%
4	7368	14.7%
0	5446	10.9%
1	5295	10.6%
6	3902	7.8%
7	3680	7.4%
5	3617	7.2%
100	1974	3.9%
9	1837	3.7%
Other values (242)	1852	3.7%

Most occurring characters

Value	Count	Frequency (%)
0	9458	16.0%
2	7597	12.9%
3	7597	12.9%
4	7476	12.7%
1	7438	12.6%
6	3976	6.7%
7	3742	6.3%
5	3696	6.3%
_	2436	4.1%
-	1974	3.3%
Other values (2)	3563	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	54543	92.5%
Connector Punctuation	2436	4.1%
Dash Punctuation	1974	3.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9458	17.3%
2	7597	13.9%
3	7597	13.9%
4	7476	13.7%
1	7438	13.6%
6	3976	7.3%
7	3742	6.9%
5	3696	6.8%
9	1908	3.5%
8	1655	3.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2436	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1974	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	58953	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9458	16.0%
2	7597	12.9%
3	7597	12.9%
4	7476	12.7%
1	7438	12.6%
6	3976	6.7%
7	3742	6.3%
5	3696	6.3%
_	2436	4.1%
-	1974	3.3%
Other values (2)	3563	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	58953	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9458	16.0%
2	7597	12.9%
3	7597	12.9%
4	7476	12.7%
1	7438	12.6%
6	3976	6.7%
7	3742	6.3%
5	3696	6.3%
_	2436	4.1%
-	1974	3.3%
Other values (2)	3563	6.0%

Type_of_Loan
Categorical

HIGH CARDINALITY
MISSING

Distinct	6260
Distinct (%)	14.1%
Missing	5704
Missing (%)	11.4%
Memory size	390.8 KiB

Not Specified	704
Credit-Builder Loan	640
Personal Loan	636
Debt Consolidation Loan	632
Student Loan	620
Other values (6255)	41064

Length

Max length	182
Median length	142
Mean length	66.68358317
Min length	9

Characters and Unicode

Total characters	2953816
Distinct characters	33
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan
2nd row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan
3rd row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan
4th row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan
5th row	Credit-Builder Loan

Common Values

Value	Count	Frequency (%)
Not Specified	704	1.4%
Credit-Builder Loan	640	1.3%
Personal Loan	636	1.3%
Debt Consolidation Loan	632	1.3%
Student Loan	620	1.2%
Payday Loan	600	1.2%
Mortgage Loan	588	1.2%
Auto Loan	576	1.2%
Home Equity Loan	568	1.1%
Personal Loan, and Student Loan	160	0.3%
Other values (6250)	38572	77.1%
(Missing)	5704	11.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
loan	156836	36.4%
and	38732	9.0%
payday	20284	4.7%
credit-builder	20220	4.7%
not	19808	4.6%
specified	19808	4.6%
home	19552	4.5%
equity	19552	4.5%
student	19484	4.5%
mortgage	19468	4.5%
Other values (4)	77216	17.9%

Most occurring characters

Value	Count	Frequency (%)
	386664	13.1%
o	312268	10.6%
a	294436	10.0%
n	273272	9.3%
e	177392	6.0%
t	175788	6.0%
d	158136	5.4%
L	156836	5.3%
i	138384	4.7%
,	132348	4.5%
Other values (23)	748292	25.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2002136	67.8%
Uppercase Letter	412448	14.0%
Space Separator	386664	13.1%
Other Punctuation	132348	4.5%
Dash Punctuation	20220	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	312268	15.6%
a	294436	14.7%
n	273272	13.6%
e	177392	8.9%
t	175788	8.8%
d	158136	7.9%
i	138384	6.9%
r	79352	4.0%
u	78252	3.9%
y	60120	3.0%
Other values (9)	254736	12.7%

Uppercase Letter

Value	Count	Frequency (%)
L	156836	38.0%
P	39728	9.6%
C	39608	9.6%
S	39292	9.5%
B	20220	4.9%
N	19808	4.8%
H	19552	4.7%
E	19552	4.7%
M	19468	4.7%
D	19388	4.7%

Space Separator

Value	Count	Frequency (%)
	386664	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	132348	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	20220	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2414584	81.7%
Common	539232	18.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	312268	12.9%
a	294436	12.2%
n	273272	11.3%
e	177392	7.3%
t	175788	7.3%
d	158136	6.5%
L	156836	6.5%
i	138384	5.7%
r	79352	3.3%
u	78252	3.2%
Other values (20)	570468	23.6%

Common

Value	Count	Frequency (%)
	386664	71.7%
,	132348	24.5%
-	20220	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2953816	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	386664	13.1%
o	312268	10.6%
a	294436	10.0%
n	273272	9.3%
e	177392	6.0%
t	175788	6.0%
d	158136	5.4%
L	156836	5.3%
i	138384	4.7%
,	132348	4.5%
Other values (23)	748292	25.3%

Delay_from_due_date
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	73
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.05264

Minimum	-5
Maximum	67
Zeros	626
Zeros (%)	1.3%
Negative	298
Negative (%)	0.6%
Memory size	390.8 KiB

Quantile statistics

Minimum	-5
5-th percentile	3
Q1	10
median	18
Q3	28
95-th percentile	54
Maximum	67
Range	72
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	14.86039722
Coefficient of variation (CV)	0.7058685858
Kurtosis	0.3444273989
Mean	21.05264
Median Absolute Deviation (MAD)	9
Skewness	0.9649281101
Sum	1052632
Variance	220.8314057
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13	1761	3.5%
15	1759	3.5%
8	1680	3.4%
9	1656	3.3%
10	1645	3.3%
14	1636	3.3%
12	1625	3.2%
7	1587	3.2%
6	1584	3.2%
11	1573	3.1%
Other values (63)	33494	67.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-5	18	< 0.1%
-4	49	0.1%
-3	59	0.1%
-2	71	0.1%
-1	101	0.2%
0	626	1.3%
1	668	1.3%
2	669	1.3%
3	848	1.7%
4	825	1.7%

Value	Count	Frequency (%)
67	7	< 0.1%
66	12	< 0.1%
65	30	0.1%
64	33	0.1%
63	21	< 0.1%
62	279	0.6%
61	271	0.5%
60	259	0.5%
59	250	0.5%
58	282	0.6%

Num_of_Delayed_Payment
Categorical

HIGH CARDINALITY
MISSING

Distinct	443
Distinct (%)	1.0%
Missing	3498
Missing (%)	7.0%
Memory size	390.8 KiB

19	2622
15	2594
18	2570
16	2548
17	2545
Other values (438)	33623

Length

Max length	5
Median length	2
Mean length	1.772912993
Min length	1

Characters and Unicode

Total characters	82444
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	367 ?
Unique (%)	0.8%

Sample

1st row	7
2nd row	9
3rd row	4
4th row	5
5th row	1

Common Values

Value	Count	Frequency (%)
19	2622	5.2%
15	2594	5.2%
18	2570	5.1%
16	2548	5.1%
17	2545	5.1%
10	2517	5.0%
12	2483	5.0%
11	2440	4.9%
20	2422	4.8%
9	2365	4.7%
Other values (433)	21396	42.8%
(Missing)	3498	7.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
19	2707	5.8%
15	2674	5.8%
16	2637	5.7%
17	2636	5.7%
18	2631	5.7%
10	2591	5.6%
12	2563	5.5%
20	2518	5.4%
11	2504	5.4%
9	2440	5.2%
Other values (398)	20601	44.3%

Most occurring characters

Value	Count	Frequency (%)
1	30118	36.5%
2	13020	15.8%
0	6032	7.3%
9	5262	6.4%
8	5260	6.4%
5	4698	5.7%
3	4317	5.2%
7	4033	4.9%
6	4015	4.9%
4	3975	4.8%
Other values (2)	1714	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	80730	97.9%
Connector Punctuation	1427	1.7%
Dash Punctuation	287	0.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	30118	37.3%
2	13020	16.1%
0	6032	7.5%
9	5262	6.5%
8	5260	6.5%
5	4698	5.8%
3	4317	5.3%
7	4033	5.0%
6	4015	5.0%
4	3975	4.9%

Connector Punctuation

Value	Count	Frequency (%)
_	1427	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	287	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	82444	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	30118	36.5%
2	13020	15.8%
0	6032	7.3%
9	5262	6.4%
8	5260	6.4%
5	4698	5.7%
3	4317	5.2%
7	4033	4.9%
6	4015	4.9%
4	3975	4.8%
Other values (2)	1714	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	82444	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	30118	36.5%
2	13020	15.8%
0	6032	7.3%
9	5262	6.4%
8	5260	6.4%
5	4698	5.7%
3	4317	5.2%
7	4033	4.9%
6	4015	4.9%
4	3975	4.8%
Other values (2)	1714	2.1%

Changed_Credit_Limit
Categorical

HIGH CARDINALITY

Distinct	3927
Distinct (%)	7.9%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

_	1059
11.5	70
11.32	63
7.01	60
7.35	60
Other values (3922)	48688

Length

Max length	21
Median length	20
Mean length	4.69558
Min length	1

Characters and Unicode

Total characters	234779
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	695 ?
Unique (%)	1.4%

Sample

1st row	11.27
2nd row	13.27
3rd row	12.27
4th row	11.27
5th row	5.42

Common Values

Value	Count	Frequency (%)
_	1059	2.1%
11.5	70	0.1%
11.32	63	0.1%
7.01	60	0.1%
7.35	60	0.1%
10.06	57	0.1%
8.22	56	0.1%
7.63	56	0.1%
7.69	56	0.1%
10.3	55	0.1%
Other values (3917)	48408	96.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	1059	2.1%
11.5	70	0.1%
11.32	63	0.1%
7.01	60	0.1%
7.35	60	0.1%
3.93	57	0.1%
10.06	57	0.1%
8.22	56	0.1%
7.63	56	0.1%
7.69	56	0.1%
Other values (3471)	48406	96.8%

Most occurring characters

Value	Count	Frequency (%)
.	48941	20.8%
1	34489	14.7%
9	23001	9.8%
0	19861	8.5%
2	18122	7.7%
7	15298	6.5%
8	15257	6.5%
5	14815	6.3%
6	14574	6.2%
3	14319	6.1%
Other values (3)	16102	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	183944	78.3%
Other Punctuation	48941	20.8%
Connector Punctuation	1059	0.5%
Dash Punctuation	835	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	34489	18.7%
9	23001	12.5%
0	19861	10.8%
2	18122	9.9%
7	15298	8.3%
8	15257	8.3%
5	14815	8.1%
6	14574	7.9%
3	14319	7.8%
4	14208	7.7%

Other Punctuation

Value	Count	Frequency (%)
.	48941	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1059	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	835	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	234779	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	48941	20.8%
1	34489	14.7%
9	23001	9.8%
0	19861	8.5%
2	18122	7.7%
7	15298	6.5%
8	15257	6.5%
5	14815	6.3%
6	14574	6.2%
3	14319	6.1%
Other values (3)	16102	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	234779	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	48941	20.8%
1	34489	14.7%
9	23001	9.8%
0	19861	8.5%
2	18122	7.7%
7	15298	6.5%
8	15257	6.5%
5	14815	6.3%
6	14574	6.2%
3	14319	6.1%
Other values (3)	16102	6.9%

Num_Credit_Inquiries
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	750
Distinct (%)	1.5%
Missing	1035
Missing (%)	2.1%
Infinite	0
Infinite (%)	0.0%
Mean	30.08020014

Minimum	0
Maximum	2593
Zeros	1102
Zeros (%)	2.2%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	15
Maximum	2593
Range	2593
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	196.9841205
Coefficient of variation (CV)	6.548630646
Kurtosis	96.36985966
Mean	30.08020014
Median Absolute Deviation (MAD)	3
Skewness	9.587172676
Sum	1472877
Variance	38802.74373
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	4709	9.4%
4	4402	8.8%
6	4375	8.8%
7	4295	8.6%
8	3922	7.8%
9	3523	7.0%
3	3466	6.9%
11	2996	6.0%
10	2982	6.0%
12	2585	5.2%
Other values (740)	11710	23.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1102	2.2%
1	1747	3.5%
2	2454	4.9%
3	3466	6.9%
4	4402	8.8%
5	4709	9.4%
6	4375	8.8%
7	4295	8.6%
8	3922	7.8%
9	3523	7.0%

Value	Count	Frequency (%)
2593	1	< 0.1%
2592	1	< 0.1%
2588	1	< 0.1%
2586	1	< 0.1%
2583	1	< 0.1%
2576	1	< 0.1%
2575	1	< 0.1%
2574	1	< 0.1%
2570	1	< 0.1%
2567	1	< 0.1%

Credit_Mix
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

Standard	18379
Good	12260
_	9805
Bad	9556

Length

Max length	8
Median length	4
Mean length	4.6909
Min length	1

Characters and Unicode

Total characters	234545
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Good
2nd row	Good
3rd row	Good
4th row	Good
5th row	Good

Common Values

Value	Count	Frequency (%)
Standard	18379	36.8%
Good	12260	24.5%
_	9805	19.6%
Bad	9556	19.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
standard	18379	36.8%
good	12260	24.5%
	9805	19.6%
bad	9556	19.1%

Most occurring characters

Value	Count	Frequency (%)
d	58574	25.0%
a	46314	19.7%
o	24520	10.5%
S	18379	7.8%
t	18379	7.8%
n	18379	7.8%
r	18379	7.8%
G	12260	5.2%
_	9805	4.2%
B	9556	4.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	184545	78.7%
Uppercase Letter	40195	17.1%
Connector Punctuation	9805	4.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
d	58574	31.7%
a	46314	25.1%
o	24520	13.3%
t	18379	10.0%
n	18379	10.0%
r	18379	10.0%

Uppercase Letter

Value	Count	Frequency (%)
S	18379	45.7%
G	12260	30.5%
B	9556	23.8%

Connector Punctuation

Value	Count	Frequency (%)
_	9805	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	224740	95.8%
Common	9805	4.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
d	58574	26.1%
a	46314	20.6%
o	24520	10.9%
S	18379	8.2%
t	18379	8.2%
n	18379	8.2%
r	18379	8.2%
G	12260	5.5%
B	9556	4.3%

Common

Value	Count	Frequency (%)
_	9805	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	234545	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
d	58574	25.0%
a	46314	19.7%
o	24520	10.5%
S	18379	7.8%
t	18379	7.8%
n	18379	7.8%
r	18379	7.8%
G	12260	5.2%
_	9805	4.2%
B	9556	4.1%

Outstanding_Debt
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	12685
Distinct (%)	25.4%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

1109.03	12
1151.7	12
1360.45	12
460.46	12
1428.31	8
Other values (12680)	49944

Length

Max length	8
Median length	7
Mean length	6.43302
Min length	3

Characters and Unicode

Total characters	321651
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	473 ?
Unique (%)	0.9%

Sample

1st row	809.98
2nd row	809.98
3rd row	809.98
4th row	809.98
5th row	605.03

Common Values

Value	Count	Frequency (%)
1109.03	12	< 0.1%
1151.7	12	< 0.1%
1360.45	12	< 0.1%
460.46	12	< 0.1%
1428.31	8	< 0.1%
950.59	8	< 0.1%
1334.81	8	< 0.1%
2329.28	8	< 0.1%
952.39	8	< 0.1%
1812.46	8	< 0.1%
Other values (12675)	49904	99.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1109.03	12	< 0.1%
1360.45	12	< 0.1%
460.46	12	< 0.1%
1151.7	12	< 0.1%
796.88	8	< 0.1%
1434.18	8	< 0.1%
1421.95	8	< 0.1%
852.74	8	< 0.1%
1381.1	8	< 0.1%
1423.88	8	< 0.1%
Other values (12193)	49904	99.8%

Most occurring characters

Value	Count	Frequency (%)
.	50000	15.5%
1	41784	13.0%
2	31968	9.9%
3	29420	9.1%
4	29176	9.1%
5	24732	7.7%
6	24456	7.6%
8	24004	7.5%
7	23832	7.4%
9	23572	7.3%
Other values (2)	18707	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	271160	84.3%
Other Punctuation	50000	15.5%
Connector Punctuation	491	0.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	41784	15.4%
2	31968	11.8%
3	29420	10.8%
4	29176	10.8%
5	24732	9.1%
6	24456	9.0%
8	24004	8.9%
7	23832	8.8%
9	23572	8.7%
0	18216	6.7%

Other Punctuation

Value	Count	Frequency (%)
.	50000	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	491	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	321651	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	50000	15.5%
1	41784	13.0%
2	31968	9.9%
3	29420	9.1%
4	29176	9.1%
5	24732	7.7%
6	24456	7.6%
8	24004	7.5%
7	23832	7.4%
9	23572	7.3%
Other values (2)	18707	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	321651	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	50000	15.5%
1	41784	13.0%
2	31968	9.9%
3	29420	9.1%
4	29176	9.1%
5	24732	7.7%
6	24456	7.6%
8	24004	7.5%
7	23832	7.4%
9	23572	7.3%
Other values (2)	18707	5.8%

Credit_Utilization_Ratio
Real number (ℝ_≥0)

UNIQUE

Distinct	50000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.27958112

Minimum	20.50965206
Maximum	48.54066309
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	20.50965206
5-th percentile	24.27433854
Q1	28.06104036
median	32.28038958
Q3	36.46859096
95-th percentile	40.24488238
Maximum	48.54066309
Range	28.03101103
Interquartile range (IQR)	8.407550602

Descriptive statistics

Standard deviation	5.106237733
Coefficient of variation (CV)	0.1581878561
Kurtosis	-0.9494207268
Mean	32.27958112
Median Absolute Deviation (MAD)	4.201862883
Skewness	0.03759574349
Sum	1613979.056
Variance	26.07366378
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37.29138904	1	< 0.1%
31.50968122	1	< 0.1%
27.90120124	1	< 0.1%
28.66930586	1	< 0.1%
35.05934584	1	< 0.1%
33.14716532	1	< 0.1%
39.76709718	1	< 0.1%
37.46144502	1	< 0.1%
41.83887758	1	< 0.1%
24.25796881	1	< 0.1%
Other values (49990)	49990	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20.50965206	1	< 0.1%
20.62001732	1	< 0.1%
20.73922549	1	< 0.1%
20.80058685	1	< 0.1%
20.83922638	1	< 0.1%
20.91964798	1	< 0.1%
21.11966911	1	< 0.1%
21.14020193	1	< 0.1%
21.18158151	1	< 0.1%
21.18710526	1	< 0.1%

Value	Count	Frequency (%)
48.54066309	1	< 0.1%
48.22871401	1	< 0.1%
48.15277749	1	< 0.1%
48.09645727	1	< 0.1%
48.06528066	1	< 0.1%
47.28898726	1	< 0.1%
47.23010359	1	< 0.1%
47.16317245	1	< 0.1%
46.97777638	1	< 0.1%
46.94753325	1	< 0.1%

Credit_History_Age
Categorical

HIGH CARDINALITY
MISSING

Distinct	399
Distinct (%)	0.9%
Missing	4470
Missing (%)	8.9%
Memory size	390.8 KiB

16 Years and 1 Months	254
20 Years and 1 Months	254
18 Years and 7 Months	252
19 Years and 7 Months	252
18 Years and 6 Months	250
Other values (394)	44268

Length

Max length	22
Median length	21
Mean length	20.97537887
Min length	20

Characters and Unicode

Total characters	955009
Distinct characters	22
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	22 Years and 9 Months
2nd row	22 Years and 10 Months
3rd row	23 Years and 0 Months
4th row	27 Years and 3 Months
5th row	27 Years and 4 Months

Common Values

Value	Count	Frequency (%)
16 Years and 1 Months	254	0.5%
20 Years and 1 Months	254	0.5%
18 Years and 7 Months	252	0.5%
19 Years and 7 Months	252	0.5%
18 Years and 6 Months	250	0.5%
16 Years and 6 Months	248	0.5%
19 Years and 1 Months	242	0.5%
18 Years and 1 Months	241	0.5%
16 Years and 7 Months	238	0.5%
20 Years and 0 Months	236	0.5%
Other values (389)	43063	86.1%
(Missing)	4470	8.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
and	45530	20.0%
months	45530	20.0%
years	45530	20.0%
6	6000	2.6%
7	5955	2.6%
1	4948	2.2%
8	4885	2.1%
9	4857	2.1%
10	4766	2.1%
11	4651	2.0%
Other values (28)	54998	24.2%

Most occurring characters

Value	Count	Frequency (%)
	182120	19.1%
a	91060	9.5%
s	91060	9.5%
n	91060	9.5%
o	45530	4.8%
t	45530	4.8%
Y	45530	4.8%
e	45530	4.8%
r	45530	4.8%
d	45530	4.8%
Other values (12)	226529	23.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	546360	57.2%
Space Separator	182120	19.1%
Decimal Number	135469	14.2%
Uppercase Letter	91060	9.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	36744	27.1%
2	22565	16.7%
3	13607	10.0%
0	12936	9.5%
6	9805	7.2%
7	9479	7.0%
8	8668	6.4%
9	8615	6.4%
4	6716	5.0%
5	6334	4.7%

Lowercase Letter

Value	Count	Frequency (%)
a	91060	16.7%
s	91060	16.7%
n	91060	16.7%
o	45530	8.3%
t	45530	8.3%
e	45530	8.3%
r	45530	8.3%
d	45530	8.3%
h	45530	8.3%

Uppercase Letter

Value	Count	Frequency (%)
Y	45530	50.0%
M	45530	50.0%

Space Separator

Value	Count	Frequency (%)
	182120	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	637420	66.7%
Common	317589	33.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
	182120	57.3%
1	36744	11.6%
2	22565	7.1%
3	13607	4.3%
0	12936	4.1%
6	9805	3.1%
7	9479	3.0%
8	8668	2.7%
9	8615	2.7%
4	6716	2.1%

Latin

Value	Count	Frequency (%)
a	91060	14.3%
s	91060	14.3%
n	91060	14.3%
o	45530	7.1%
t	45530	7.1%
Y	45530	7.1%
e	45530	7.1%
r	45530	7.1%
d	45530	7.1%
M	45530	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	955009	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	182120	19.1%
a	91060	9.5%
s	91060	9.5%
n	91060	9.5%
o	45530	4.8%
t	45530	4.8%
Y	45530	4.8%
e	45530	4.8%
r	45530	4.8%
d	45530	4.8%
Other values (12)	226529	23.7%

Payment_of_Min_Amount
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

Yes	26158
No	17849
NM	5993

Length

Max length	3
Median length	3
Mean length	2.52316
Min length	2

Characters and Unicode

Total characters	126158
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
Yes	26158	52.3%
No	17849	35.7%
NM	5993	12.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
yes	26158	52.3%
no	17849	35.7%
nm	5993	12.0%

Most occurring characters

Value	Count	Frequency (%)
Y	26158	20.7%
e	26158	20.7%
s	26158	20.7%
N	23842	18.9%
o	17849	14.1%
M	5993	4.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	70165	55.6%
Uppercase Letter	55993	44.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
Y	26158	46.7%
N	23842	42.6%
M	5993	10.7%

Lowercase Letter

Value	Count	Frequency (%)
e	26158	37.3%
s	26158	37.3%
o	17849	25.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	126158	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
Y	26158	20.7%
e	26158	20.7%
s	26158	20.7%
N	23842	18.9%
o	17849	14.1%
M	5993	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	126158	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
Y	26158	20.7%
e	26158	20.7%
s	26158	20.7%
N	23842	18.9%
o	17849	14.1%
M	5993	4.8%

Total_EMI_per_month
Real number (ℝ_≥0)

ZEROS

Distinct	13144
Distinct (%)	26.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1491.304305

Minimum	0
Maximum	82398
Zeros	5002
Zeros (%)	10.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	32.22238767
median	74.73334891
Q3	176.1574914
95-th percentile	683.4115255
Maximum	82398
Range	82398
Interquartile range (IQR)	143.9351037

Descriptive statistics

Standard deviation	8595.647887
Coefficient of variation (CV)	5.763845687
Kurtosis	49.80255452
Mean	1491.304305
Median Absolute Deviation (MAD)	55.07584522
Skewness	6.946275256
Sum	74565215.26
Variance	73885162.59
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5002	10.0%
54.70127741	4	< 0.1%
93.60161743	4	< 0.1%
96.2655719	4	< 0.1%
92.42547138	4	< 0.1%
244.4200738	4	< 0.1%
104.7461774	4	< 0.1%
69.3798369	4	< 0.1%
45.17437938	4	< 0.1%
85.88604716	4	< 0.1%
Other values (13134)	44962	89.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5002	10.0%
4.462837467	4	< 0.1%
4.713183572	4	< 0.1%
4.865689677	4	< 0.1%
4.916138542	4	< 0.1%
5.138484696	4	< 0.1%
5.218466359	4	< 0.1%
5.24927327	4	< 0.1%
5.262291048	4	< 0.1%
5.351086151	4	< 0.1%

Value	Count	Frequency (%)
82398	1	< 0.1%
82347	1	< 0.1%
82316	1	< 0.1%
82248	1	< 0.1%
82235	1	< 0.1%
82225	1	< 0.1%
82091	1	< 0.1%
82071	1	< 0.1%
82023	1	< 0.1%
82016	1	< 0.1%

Amount_invested_monthly
Categorical

HIGH CARDINALITY
MISSING

Distinct	45450
Distinct (%)	95.2%
Missing	2271
Missing (%)	4.5%
Memory size	390.8 KiB

__10000__	2175
0.0	106
146.45223558174197	1
124.69037914425093	1
263.87560234624675	1
Other values (45445)	45445

Length

Max length	18
Median length	17
Mean length	16.95711203
Min length	3

Characters and Unicode

Total characters	809346
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	45448 ?
Unique (%)	95.2%

Sample

1st row	236.64268203272135
2nd row	21.465380264657146
3rd row	148.23393788500925
4th row	39.08251089460281
5th row	39.684018417945296

Common Values

Value	Count	Frequency (%)
__10000__	2175	4.3%
0.0	106	0.2%
146.45223558174197	1	< 0.1%
124.69037914425093	1	< 0.1%
263.87560234624675	1	< 0.1%
36.367528830515006	1	< 0.1%
82.41238403428513	1	< 0.1%
437.963686580976	1	< 0.1%
34.19467092596217	1	< 0.1%
101.72654992407084	1	< 0.1%
Other values (45440)	45440	90.9%
(Missing)	2271	4.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
10000	2175	4.6%
0.0	106	0.2%
80.47799072248316	1	< 0.1%
47.77825691895126	1	< 0.1%
428.2140784268283	1	< 0.1%
220.2312521677813	1	< 0.1%
416.6748620847473	1	< 0.1%
72.90584412338201	1	< 0.1%
438.31259341087883	1	< 0.1%
58.49694106863918	1	< 0.1%
Other values (45440)	45440	95.2%

Most occurring characters

Value	Count	Frequency (%)
1	86365	10.7%
2	77857	9.6%
4	76027	9.4%
3	75728	9.4%
0	75606	9.3%
6	74699	9.2%
5	74363	9.2%
8	72540	9.0%
7	72532	9.0%
9	69375	8.6%
Other values (2)	54254	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	755092	93.3%
Other Punctuation	45554	5.6%
Connector Punctuation	8700	1.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	86365	11.4%
2	77857	10.3%
4	76027	10.1%
3	75728	10.0%
0	75606	10.0%
6	74699	9.9%
5	74363	9.8%
8	72540	9.6%
7	72532	9.6%
9	69375	9.2%

Other Punctuation

Value	Count	Frequency (%)
.	45554	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	8700	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	809346	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	86365	10.7%
2	77857	9.6%
4	76027	9.4%
3	75728	9.4%
0	75606	9.3%
6	74699	9.2%
5	74363	9.2%
8	72540	9.0%
7	72532	9.0%
9	69375	8.6%
Other values (2)	54254	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	809346	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	86365	10.7%
2	77857	9.6%
4	76027	9.4%
3	75728	9.4%
0	75606	9.3%
6	74699	9.2%
5	74363	9.2%
8	72540	9.0%
7	72532	9.0%
9	69375	8.6%
Other values (2)	54254	6.7%

Payment_Behaviour
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

Low_spent_Small_value_payments	12694
High_spent_Medium_value_payments	8922
High_spent_Large_value_payments	6844
Low_spent_Medium_value_payments	6837
High_spent_Small_value_payments	5651
Other values (2)	9052

Length

Max length	32
Median length	31
Mean length	28.91952
Min length	6

Characters and Unicode

Total characters	1445976
Distinct characters	29
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Low_spent_Small_value_payments
2nd row	High_spent_Medium_value_payments
3rd row	Low_spent_Medium_value_payments
4th row	High_spent_Medium_value_payments
5th row	High_spent_Large_value_payments

Common Values

Value	Count	Frequency (%)
Low_spent_Small_value_payments	12694	25.4%
High_spent_Medium_value_payments	8922	17.8%
High_spent_Large_value_payments	6844	13.7%
Low_spent_Medium_value_payments	6837	13.7%
High_spent_Small_value_payments	5651	11.3%
Low_spent_Large_value_payments	5252	10.5%
!@9#%8	3800	7.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
low_spent_small_value_payments	12694	25.4%
high_spent_medium_value_payments	8922	17.8%
high_spent_large_value_payments	6844	13.7%
low_spent_medium_value_payments	6837	13.7%
high_spent_small_value_payments	5651	11.3%
low_spent_large_value_payments	5252	10.5%
9#%8	3800	7.6%

Most occurring characters

Value	Count	Frequency (%)
_	184800	12.8%
e	166455	11.5%
a	122841	8.5%
s	92400	6.4%
p	92400	6.4%
n	92400	6.4%
t	92400	6.4%
l	82890	5.7%
m	80304	5.6%
u	61959	4.3%
Other values (19)	377127	26.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1145976	79.3%
Connector Punctuation	184800	12.8%
Uppercase Letter	92400	6.4%
Other Punctuation	15200	1.1%
Decimal Number	7600	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	166455	14.5%
a	122841	10.7%
s	92400	8.1%
p	92400	8.1%
n	92400	8.1%
t	92400	8.1%
l	82890	7.2%
m	80304	7.0%
u	61959	5.4%
v	46200	4.0%
Other values (8)	215727	18.8%

Uppercase Letter

Value	Count	Frequency (%)
L	36879	39.9%
H	21417	23.2%
S	18345	19.9%
M	15759	17.1%

Other Punctuation

Value	Count	Frequency (%)
!	3800	25.0%
@	3800	25.0%
#	3800	25.0%
%	3800	25.0%

Decimal Number

Value	Count	Frequency (%)
9	3800	50.0%
8	3800	50.0%

Connector Punctuation

Value	Count	Frequency (%)
_	184800	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1238376	85.6%
Common	207600	14.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	166455	13.4%
a	122841	9.9%
s	92400	7.5%
p	92400	7.5%
n	92400	7.5%
t	92400	7.5%
l	82890	6.7%
m	80304	6.5%
u	61959	5.0%
v	46200	3.7%
Other values (12)	308127	24.9%

Common

Value	Count	Frequency (%)
_	184800	89.0%
!	3800	1.8%
@	3800	1.8%
9	3800	1.8%
#	3800	1.8%
%	3800	1.8%
8	3800	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1445976	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
_	184800	12.8%
e	166455	11.5%
a	122841	8.5%
s	92400	6.4%
p	92400	6.4%
n	92400	6.4%
t	92400	6.4%
l	82890	5.7%
m	80304	5.6%
u	61959	4.3%
Other values (19)	377127	26.1%

Monthly_Balance
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	49433
Distinct (%)	> 99.9%
Missing	562
Missing (%)	1.1%
Memory size	390.8 KiB

__-333333333333333333333333333__	6
329.8161038704352	1
403.8475175077663	1
382.1571836917757	1
203.42087912420956	1
Other values (49428)	49428

Length

Max length	32
Median length	17
Mean length	17.34234799
Min length	13

Characters and Unicode

Total characters	857371
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	49432 ?
Unique (%)	> 99.9%

Sample

1st row	186.26670208571772
2nd row	361.44400385378196
3rd row	264.67544623342997
4th row	343.82687322383634
5th row	485.2984336755923

Common Values

Value	Count	Frequency (%)
__-333333333333333333333333333__	6	< 0.1%
329.8161038704352	1	< 0.1%
403.8475175077663	1	< 0.1%
382.1571836917757	1	< 0.1%
203.42087912420956	1	< 0.1%
300.7943892000848	1	< 0.1%
391.68606982234553	1	< 0.1%
728.4641774729828	1	< 0.1%
265.7679202700299	1	< 0.1%
500.19846383311386	1	< 0.1%
Other values (49423)	49423	98.8%
(Missing)	562	1.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
333333333333333333333333333	6	< 0.1%
385.3004381161553	1	< 0.1%
300.5226866460017	1	< 0.1%
459.94881480995565	1	< 0.1%
314.86461341416197	1	< 0.1%
293.7475635901477	1	< 0.1%
520.0915175778559	1	< 0.1%
260.4064883149828	1	< 0.1%
388.7936705325999	1	< 0.1%
595.220959147716	1	< 0.1%
Other values (49423)	49423	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
3	90947	10.6%
2	90118	10.5%
4	84677	9.9%
5	81313	9.5%
6	80808	9.4%
7	78501	9.2%
1	77986	9.1%
8	77928	9.1%
9	74663	8.7%
0	70968	8.3%
Other values (3)	49462	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	807909	94.2%
Other Punctuation	49432	5.8%
Connector Punctuation	24	< 0.1%
Dash Punctuation	6	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	90947	11.3%
2	90118	11.2%
4	84677	10.5%
5	81313	10.1%
6	80808	10.0%
7	78501	9.7%
1	77986	9.7%
8	77928	9.6%
9	74663	9.2%
0	70968	8.8%

Other Punctuation

Value	Count	Frequency (%)
.	49432	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	24	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	857371	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	90947	10.6%
2	90118	10.5%
4	84677	9.9%
5	81313	9.5%
6	80808	9.4%
7	78501	9.2%
1	77986	9.1%
8	77928	9.1%
9	74663	8.7%
0	70968	8.3%
Other values (3)	49462	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	857371	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	90947	10.6%
2	90118	10.5%
4	84677	9.9%
5	81313	9.5%
6	80808	9.4%
7	78501	9.2%
1	77986	9.1%
8	77928	9.1%
9	74663	8.7%
0	70968	8.3%
Other values (3)	49462	5.8%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	ID	Customer_ID	Month	Name	Age	SSN	Occupation	Annual_Income	Monthly_Inhand_Salary	Num_Bank_Accounts	Num_Credit_Card	Interest_Rate	Num_of_Loan	Type_of_Loan	Delay_from_due_date	Num_of_Delayed_Payment	Changed_Credit_Limit	Num_Credit_Inquiries	Credit_Mix	Outstanding_Debt	Credit_Utilization_Ratio	Credit_History_Age	Payment_of_Min_Amount	Total_EMI_per_month	Amount_invested_monthly	Payment_Behaviour	Monthly_Balance
0	0x160a	CUS_0xd40	September	Aaron Maashoh	23	821-00-0265	Scientist	19114.12	1824.843333	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	3	7	11.27	2022.0	Good	809.98	35.030402	22 Years and 9 Months	No	49.574949	236.64268203272135	Low_spent_Small_value_payments	186.26670208571772
1	0x160b	CUS_0xd40	October	Aaron Maashoh	24	821-00-0265	Scientist	19114.12	1824.843333	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	3	9	13.27	4.0	Good	809.98	33.053114	22 Years and 10 Months	No	49.574949	21.465380264657146	High_spent_Medium_value_payments	361.44400385378196
2	0x160c	CUS_0xd40	November	Aaron Maashoh	24	821-00-0265	Scientist	19114.12	1824.843333	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	-1	4	12.27	4.0	Good	809.98	33.811894	NaN	No	49.574949	148.23393788500925	Low_spent_Medium_value_payments	264.67544623342997
3	0x160d	CUS_0xd40	December	Aaron Maashoh	24_	821-00-0265	Scientist	19114.12	NaN	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	4	5	11.27	4.0	Good	809.98	32.430559	23 Years and 0 Months	No	49.574949	39.08251089460281	High_spent_Medium_value_payments	343.82687322383634
4	0x1616	CUS_0x21b1	September	Rick Rothackerj	28	004-07-5839	_______	34847.84	3037.986667	2	4	6	1	Credit-Builder Loan	3	1	5.42	5.0	Good	605.03	25.926822	27 Years and 3 Months	No	18.816215	39.684018417945296	High_spent_Large_value_payments	485.2984336755923
5	0x1617	CUS_0x21b1	October	Rick Rothackerj	28	#F%$D@*&8	Teacher	34847.84	3037.986667	2	4	6	1	Credit-Builder Loan	3	3	5.42	5.0	Good	605.03	30.116600	27 Years and 4 Months	No	18.816215	251.62736875017606	Low_spent_Large_value_payments	303.3550833433617
6	0x1618	CUS_0x21b1	November	Rick Rothackerj	28	004-07-5839	Teacher	34847.84	3037.986667	2	4	6	1	Credit-Builder Loan	3	NaN	5.42	5.0	_	605.03	30.996424	27 Years and 5 Months	No	18.816215	72.68014533363515	High_spent_Large_value_payments	452.30230675990265
7	0x1619	CUS_0x21b1	December	Rick Rothackerj	28	004-07-5839	Teacher	34847.84	3037.986667	2	4	6	1	Credit-Builder Loan	3	2_	7.42	5.0	_	605.03	33.875167	27 Years and 6 Months	No	18.816215	153.53448761392985	!@9#%8	421.44796447960783
8	0x1622	CUS_0x2dbc	September	Langep	35	486-85-3974	Engineer	143162.64	NaN	1	5	8	3	Auto Loan, Auto Loan, and Not Specified	8	1942	7.1	3.0	Good	1303.01	35.229707	18 Years and 5 Months	No	246.992319	397.50365354404653	Low_spent_Medium_value_payments	854.2260270022115
9	0x1623	CUS_0x2dbc	October	Langep	35	486-85-3974	Engineer	143162.64	12187.220000	1	5	8	3	Auto Loan, Auto Loan, and Not Specified	6	3	2.1	3.0	Good	1303.01	35.685836	18 Years and 6 Months	No	246.992319	453.6151305781054	Low_spent_Large_value_payments	788.1145499681528

Last rows

	ID	Customer_ID	Month	Name	Age	SSN	Occupation	Annual_Income	Monthly_Inhand_Salary	Num_Bank_Accounts	Num_Credit_Card	Interest_Rate	Num_of_Loan	Type_of_Loan	Delay_from_due_date	Num_of_Delayed_Payment	Changed_Credit_Limit	Num_Credit_Inquiries	Credit_Mix	Outstanding_Debt	Credit_Utilization_Ratio	Credit_History_Age	Payment_of_Min_Amount	Total_EMI_per_month	Amount_invested_monthly	Payment_Behaviour	Monthly_Balance
49990	0x25fd8	CUS_0xaf61	November	Chris Wickhamm	50	133-16-7738	Writer	37188.1	3097.008333	1	4	4252	3	Home Equity Loan, Mortgage Loan, and Student Loan	7	12	5.38	3.0	Good	620.64	25.708414	30 Years and 7 Months	No	84.205949	183.3656280777276	Low_spent_Large_value_payments	312.1292558307615
49991	0x25fd9	CUS_0xaf61	December	Chris Wickhamm	50_	133-16-7738	Writer	37188.1	3097.008333	1	4	5	3	Home Equity Loan, Mortgage Loan, and Student Loan	3	12	5.38	3.0	_	620.64	36.498383	30 Years and 8 Months	No	33013.000000	238.3993828976901	Low_spent_Large_value_payments	257.095501010799
49992	0x25fe2	CUS_0x8600	September	Sarah McBridec	29	031-35-0942	Architect	20002.88	1929.906667	10	8	29	5	Personal Loan, Auto Loan, Mortgage Loan, Student Loan, and Student Loan	33	25	18.31	9.0	Bad	3571.7	32.391288	6 Years and 4 Months	Yes	60.964772	107.21074164760236	Low_spent_Small_value_payments	314.8151526456419
49993	0x25fe3	CUS_0x8600	October	Sarah McBridec	29	031-35-0942	Architect	20002.88	1929.906667	10	8	29	5	Personal Loan, Auto Loan, Mortgage Loan, Student Loan, and Student Loan	33	25	18.31	12.0	Bad	3571.7	37.528511	6 Years and 5 Months	Yes	60.964772	71.79442082882734	Low_spent_Small_value_payments	350.23147346441687
49994	0x25fe4	CUS_0x8600	November	Sarah McBridec	29	031-35-0942	_______	20002.88	1929.906667	10	8	29	5	Personal Loan, Auto Loan, Mortgage Loan, Student Loan, and Student Loan	33	22	18.31	12.0	Bad	3571.7	27.027812	6 Years and 6 Months	Yes	60.964772	50.84684680498023	High_spent_Small_value_payments	341.179047488264
49995	0x25fe5	CUS_0x8600	December	Sarah McBridec	4975	031-35-0942	Architect	20002.88	1929.906667	10	8	29	5	Personal Loan, Auto Loan, Mortgage Loan, Student Loan, and Student Loan	33	25	18.31	12.0	_	3571.7	34.780553	NaN	Yes	60.964772	146.48632477751087	Low_spent_Small_value_payments	275.53956951573343
49996	0x25fee	CUS_0x942c	September	Nicks	25	078-73-5990	Mechanic	39628.99	NaN	4	6	7	2_	Auto Loan, and Student Loan	20	NaN	11.5	7.0	Good	502.38	27.758522	31 Years and 11 Months	NM	35.104023	181.44299902757518	Low_spent_Small_value_payments	409.39456169535066
49997	0x25fef	CUS_0x942c	October	Nicks	25	078-73-5990	Mechanic	39628.99	3359.415833	4	6	7	2	Auto Loan, and Student Loan	23	5	13.5	7.0	Good	502.38	36.858542	32 Years and 0 Months	No	35.104023	__10000__	Low_spent_Large_value_payments	349.7263321025098
49998	0x25ff0	CUS_0x942c	November	Nicks	25	078-73-5990	Mechanic	39628.99	NaN	4	6	7	2_	Auto Loan, and Student Loan	21	6_	11.5	7.0	Good	502.38	39.139840	32 Years and 1 Months	No	35.104023	97.59857973344877	High_spent_Small_value_payments	463.23898098947717
49999	0x25ff1	CUS_0x942c	December	Nicks	25	078-73-5990	Mechanic	39628.99	3359.415833	4	6	7	2	Auto Loan, and Student Loan	22	5	11.5	7.0	_	502.38	34.108530	32 Years and 2 Months	No	35.104023	220.45787812168732	Low_spent_Medium_value_payments	360.37968260123847

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Connector Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters